Literature DB >> 18852202

Extending genome-wide association studies to copy-number variation.

Steven A McCarroll1.   

Abstract

Appreciating the contribution of human genome copy-number variation (CNV) to clinical phenotypes is one of the compelling genetics challenges of the coming years. It is increasingly possible to pursue such investigations as an extension of genome-wide association studies (GWAS), enabled by innovations in the design and analysis of SNP (single nucleotide polymorphism) arrays and by progress in determining the genomic locations and population-genetic properties of the CNVs that segregate in the human population. Extensions of GWAS to CNV have already resulted in discoveries of both de novo and inherited CNV that are associated with risk of common disease. This review will discuss new approaches, recent findings and the analytical challenges involved in expanding GWAS to appreciate the contribution of CNV to human phenotypes.

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Year:  2008        PMID: 18852202     DOI: 10.1093/hmg/ddn282

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  74 in total

1.  GWAS: heritability missing in action?

Authors:  Angus J Clarke; David N Cooper
Journal:  Eur J Hum Genet       Date:  2010-03-17       Impact factor: 4.246

2.  A definitive haplotype map as determined by genotyping duplicated haploid genomes finds a predominant haplotype preference at copy-number variation events.

Authors:  Yoji Kukita; Koji Yahara; Tomoko Tahira; Koichiro Higasa; Miki Sonoda; Ken Yamamoto; Kiyoko Kato; Norio Wake; Kenshi Hayashi
Journal:  Am J Hum Genet       Date:  2010-05-27       Impact factor: 11.025

3.  Initial analysis of copy number variations in cattle selected for resistance or susceptibility to intestinal nematodes.

Authors:  George E Liu; Twain Brown; Deborah A Hebert; Maria Francesca Cardone; Yali Hou; Ratan K Choudhary; Jessica Shaffer; Chinwendu Amazu; Erin E Connor; Mario Ventura; Louis C Gasbarre
Journal:  Mamm Genome       Date:  2010-12-03       Impact factor: 2.957

4.  Assessment of complement C4 gene copy number using the paralog ratio test.

Authors:  Michelle M A Fernando; Lora Boteva; David L Morris; Bi Zhou; Yee Ling Wu; Marja-Liisa Lokki; Chack Yung Yu; John D Rioux; Edward J Hollox; Timothy J Vyse
Journal:  Hum Mutat       Date:  2010-07       Impact factor: 4.878

5.  Genome-wide association studies in Plasmodium species.

Authors:  Bridget Penman; Caroline Buckee; Sunetra Gupta; Sean Nee
Journal:  BMC Biol       Date:  2010-07-13       Impact factor: 7.431

6.  Genome-wide association study of prostate cancer mortality.

Authors:  Kathryn L Penney; Saumyadipta Pyne; Fredrick R Schumacher; Jennifer A Sinnott; Lorelei A Mucci; Peter L Kraft; Jing Ma; William K Oh; Tobias Kurth; Philip W Kantoff; Edward L Giovannucci; Meir J Stampfer; David J Hunter; Matthew L Freedman
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-10-26       Impact factor: 4.254

Review 7.  New technologies for delineating and characterizing the lipid exome: prospects for understanding familial combined hyperlipidemia.

Authors:  Stuart D Horswell; Helen E Ringham; Carol C Shoulders
Journal:  J Lipid Res       Date:  2008-11-20       Impact factor: 5.922

Review 8.  Systems biology and heart failure: concepts, methods, and potential research applications.

Authors:  Kirkwood F Adams
Journal:  Heart Fail Rev       Date:  2010-07       Impact factor: 4.214

Review 9.  Genome-wide association studies: potential next steps on a genetic journey.

Authors:  Mark I McCarthy; Joel N Hirschhorn
Journal:  Hum Mol Genet       Date:  2008-10-15       Impact factor: 6.150

10.  Whole-genome detection of disease-associated deletions or excess homozygosity in a case-control study of rheumatoid arthritis.

Authors:  Chih-Chieh Wu; Sanjay Shete; Eun-Ji Jo; Yaji Xu; Emily Y Lu; Wei V Chen; Christopher I Amos
Journal:  Hum Mol Genet       Date:  2012-12-06       Impact factor: 6.150

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